Cargando…
Changes in tourist mobility after COVID-19 outbreaks()
We comparatively examined tourist mobility changes in the entire country and explicitly covered two distinct waves of COVID-19 outbreaks, based on mobile phone data from 277.15 million tourists from 2019 to 2021 in China. The results show that domestic tourism in Beijing was even higher after the pa...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715491/ https://www.ncbi.nlm.nih.gov/pubmed/36474961 http://dx.doi.org/10.1016/j.annals.2022.103522 |
_version_ | 1784842462995415040 |
---|---|
author | Yu, Ling Zhao, Pengjun Tang, Junqing Pang, Liang |
author_facet | Yu, Ling Zhao, Pengjun Tang, Junqing Pang, Liang |
author_sort | Yu, Ling |
collection | PubMed |
description | We comparatively examined tourist mobility changes in the entire country and explicitly covered two distinct waves of COVID-19 outbreaks, based on mobile phone data from 277.15 million tourists from 2019 to 2021 in China. The results show that domestic tourism in Beijing was even higher after the pandemic than prior to it. In addition, we found that female and elderly groups had a slower recovery after the first wave, whereas this was the opposite one year later, after the second wave. Additionally, wealthier, larger cities were notably hit the hardest. Overall, our findings provide a better understanding of tourism management in public health crises and policy-making during post-pandemic recovery and for future outbreaks. |
format | Online Article Text |
id | pubmed-9715491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97154912022-12-02 Changes in tourist mobility after COVID-19 outbreaks() Yu, Ling Zhao, Pengjun Tang, Junqing Pang, Liang Ann Tour Res Article We comparatively examined tourist mobility changes in the entire country and explicitly covered two distinct waves of COVID-19 outbreaks, based on mobile phone data from 277.15 million tourists from 2019 to 2021 in China. The results show that domestic tourism in Beijing was even higher after the pandemic than prior to it. In addition, we found that female and elderly groups had a slower recovery after the first wave, whereas this was the opposite one year later, after the second wave. Additionally, wealthier, larger cities were notably hit the hardest. Overall, our findings provide a better understanding of tourism management in public health crises and policy-making during post-pandemic recovery and for future outbreaks. Elsevier Ltd. 2023-01 2022-12-02 /pmc/articles/PMC9715491/ /pubmed/36474961 http://dx.doi.org/10.1016/j.annals.2022.103522 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yu, Ling Zhao, Pengjun Tang, Junqing Pang, Liang Changes in tourist mobility after COVID-19 outbreaks() |
title | Changes in tourist mobility after COVID-19 outbreaks() |
title_full | Changes in tourist mobility after COVID-19 outbreaks() |
title_fullStr | Changes in tourist mobility after COVID-19 outbreaks() |
title_full_unstemmed | Changes in tourist mobility after COVID-19 outbreaks() |
title_short | Changes in tourist mobility after COVID-19 outbreaks() |
title_sort | changes in tourist mobility after covid-19 outbreaks() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715491/ https://www.ncbi.nlm.nih.gov/pubmed/36474961 http://dx.doi.org/10.1016/j.annals.2022.103522 |
work_keys_str_mv | AT yuling changesintouristmobilityaftercovid19outbreaks AT zhaopengjun changesintouristmobilityaftercovid19outbreaks AT tangjunqing changesintouristmobilityaftercovid19outbreaks AT pangliang changesintouristmobilityaftercovid19outbreaks |